[PDF][PDF] Analysis of data mining and soft computing techniques in prospecting diabetes disorder in human beings: a review

P Kaur, M Sharma - Int. J. Pharm. Sci. Res, 2018 - researchgate.net
Diabetes is one of the deadliest and non-contagious diseases that can adversely affect
several parts of human body. Early prognosis of diabetes can inkling the grievous …

PRV-FCM: An extension of fuzzy cognitive maps for prescriptive modeling

W Hoyos, J Aguilar, M Toro - Expert Systems with Applications, 2023 - Elsevier
In this paper, we present a methodology based on fuzzy cognitive maps (FCMs) and
metaheuristic algorithms to generate prescriptive models, called PRescriptiVe FCM (PRV …

Comparative analysis of different ML classification algorithms with diabetes prediction through Pima Indian diabetics dataset

V Patil, DR Ingle - 2021 International Conference on Intelligent …, 2021 - ieeexplore.ieee.org
Diabetes is a disease which is increasing in occurrence day by day worldwide. It triggered
due the expanded level of sugar within the blood. This type of disease could be a chronic …

[PDF][PDF] Exploiting Machine Learning Algorithms to Diagnose Foot Ulcers in Diabetic Patients.

SS Reddy, G Mahesh, NM Preethi - EAI Endorsed Transactions on …, 2021 - researchgate.net
INTRODUCTION: Diabetic foot ulcer (DFU) is a complication of diabetes that affects most of
the diabetic patients. It will cause open wounds on the foot. Untreated DFU will lead to …

Develo** preeminent model based on empirical approach to prognose liver metastasis

SS Reddy, G Mahesh, VVRM Rao… - … Systems: Proceedings of …, 2021 - Springer
Liver metastasis is a type of cancer which is associated with diseases like diabetes, non-
alcoholic fatty liver and obesity. The main aim of this paper is to develop efficient and …

Performance analysis of nature-inspired optimization algorithms for chronic disease prediction

P Yadav, N Arora, SC Sharma - 2023 International Conference …, 2023 - ieeexplore.ieee.org
Chronic Diseases have spread speedily over the last one and a half decades; these life-
threatening chronic diseases have a significantly higher rate of morbidity and fatality. Illness …

Design of multi-layer perceptron for the diagnosis of diabetes mellitus using keras in deep learning

N Muni Kumar, R Manjula - … and Applications: Proceedings of the Second …, 2019 - Springer
Diabetes mellitus is one of the deadly diseases growing at a rapid rate in the develo**
countries. Diabetes has affected over 246 million people worldwide. According to the World …

Extreme learning machine for the behavioral modeling of RF power amplifiers

CY Zhang, YY Zhu, QF Cheng, HP Fu… - 2017 IEEE MTT-S …, 2017 - ieeexplore.ieee.org
In this brief, an efficient approach using extreme learning machine (ELM) is first proposed for
the behavioral modeling of radio frequency power amplifiers (RF PAs). As a single-hidden …

The diagnosis of diabetes mellitus with boosting methods

H Koçak, G Çetin - El-Cezeri, 2023 - dergipark.org.tr
In addition to the damage it can cause to various organs, diabetes mellitus (DM) also
increases a person's risk of develo** other serious health conditions. These can include …

[HTML][HTML] Hybrid Random Feature Selection and Recurrent Neural Network for Diabetes Prediction

OR Olaniran, AO Sikiru, J Allohibi, AA Alharbi… - Mathematics, 2025 - mdpi.com
This paper proposes a novel two-stage ensemble framework combining Long Short-Term
Memory (LSTM) and Bidirectional LSTM (BiLSTM) with randomized feature selection to …